Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems

Tatarenko, Tatiana

ISBN 10: 331988039X / ISBN 13: 9783319880396

Published by Springer, 2018

About this Item

PRINT ON DEMAND pp. IX, 171 38 illus.

Seller Inventory # 18384557493

Bibliographic Details

• Title: Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems
• Publisher: Springer
• Publication Date: 2018
• Language: English
• ISBN 10: 331988039X
• ISBN 13: 9783319880396
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Presents new, efficient methods for optimization in large-scale multi-agent systems
Develops efficient optimization algorithms for three different information settings in multi-agent systems
Sets optimization problems without common restrictive assumptions

About the Author

Tatiana Tatarenko received her Ph.D. from the Control Methods and Robotics Lab at the Technical University of Darmstadt, Germany in 2017. In 2011, she graduated with honors in Mathematics, focusing on statistics and stochastic processes, from Lomonosov Moscow State University, Russia. Her main research interests are in the fields of distributed optimization, game-theoretic learning, and stochastic processes in networked multi-agent systems. Currently, Dr. Tatarenko is a research assistant at TU Darmstadt, where she teaches and supervises students.